Descriptive Research Strategy: Chapter 13 Flashcards

1
Q

characteristics of qualitative measurement

A
  • exploratory
  • no hypothesis
  • narrative report
  • small n
  • theory building
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2
Q

characteristics of quantitative measurement

A
  • confirmatory
  • hypothesis
  • statistical analyses
  • large n
  • theory confirming
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3
Q

quantitative research: categories

A

I:
- descriptive
II:
- correlational
III:
- experimental
- quasi-experimental
- non-experimental

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4
Q

level of constraint

A
  • how much control is exercised over the data collection
  • the more rules and the more specific & precise the
    method, the higher the level of constraint.
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5
Q

high constraint

A
  • higher precision & validity for
    conclusions
  • not flexible
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6
Q

low constraint

A
  • more flexible/exploratory
  • be careful about conclusions (precision? validity?)
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7
Q

goal of descriptive research

A
  • to describe every single variable involved
  • measures a variable or set of variables as they exist naturally
  • not concerned with associations between variables
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8
Q

categories of descriptive research

A
  • observational
  • survey
  • case study
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9
Q

observational research: collecting data

A
  • archival research
  • behavioural observation
  • content analysis
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10
Q

behavioural observation

A
  • direct observation and systematic recording in a natural setting.
  • concerns:
    1. Presence of researcher/solution = habituation
    2. Subjectivity/solution = multiple raters, trained observers, clearly defined behaviors
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11
Q

quantifying behavioural observations

A
  • frequency method
  • duration method
  • interval method
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12
Q

frequency method

A

counting instances of each specific behavior

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13
Q

duration method

A

counting time individual spent engaging in specific
behavior during a fixed-time observation period

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14
Q

interval method

A

dividing observation period into a series of intervals and recording if behavior occurs during each interval
- time sampling
- event sampling
- individual sampling

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15
Q

content analysis

A
  • behavioural observation
  • divide into behavioural categories
    – employ multiple observers - inter-rater reliability
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16
Q

archival analysis

A
  • examination of historical records to measure behaviour of the past
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17
Q

Types of observational research studies

A
  • naturalistic / unobtrusive observation
  • participant observation
  • contrived / structured observation
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18
Q

naturalistic observation benefits

A

+ behavior observed in real world
+ authentic / high external validity
+ observe behaviors that cannot be
manipulated

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19
Q

naturalistic observation disadvantages

A
  • time-consuming, observer influence
  • subjective interpretation
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20
Q

participant observation benefits

A

+ access to otherwise inaccessible information
+ participation offers unique insight
+ authentic / high external validity

21
Q

participant observation disadvantages

A
  • time-consuming / dangerous
  • ethical issues
  • observer influence
  • loss of objectivity
22
Q

contrived observation benefits

A

+ don’t have to wait for behavior to occur
+ can be done in lab or in the field

23
Q

contrived observation disadvantages

A
  • less authentic?
24
Q

contrived observation

A
  • observe participants in a setting designed to illicit the behavior of interest
  • structured
25
participant observation
- interact with participants or become one of them - go undercover
26
naturalistic observation
- observe behavior in a natural setting as unobtrusively as possible - “fly on the wall”
27
goal of survey research design
get a sense of people’s attitudes and behaviours in relation to a particular issue
28
3 major areas of consideration for survey
1. question content/wording of questions 2. the response format 3. administering a survey
29
demographic information
- age - educational level - ethnicity - gender - income level - living condition - language spoken - marital status - program of study - profession
30
survey questions: things to look out for
1. is the question necessary or useful? - what level of detail is required? 2. are several questions needed? - is the main question enough or do you need further clarification? 3. is your question double-barrelled? 4. do respondents have the needed information? - ask a filter question first - is the terminology too complex? - are acronyms easily understood? 5. is the question biased or loaded 6. will respondents answer truthfully? 7. is the question specific enough?
31
response format
- open-ended questions - restricted questions - rating-scale questions
32
open-ended questions
- introduce a topic and allow participants to respond in their own words - can give indication of how much detail you want
33
restricted questions
- present a limited number of response alternatives - can add element of openness (other)
34
rating-scale questions
require selection of a numerical value on a predetermined scale
35
semantic differential scale
- multiple response options, polar opposites - draw line across dash
36
administering a survey
- Internet survey - mail surveys - telephone surveys - in-person surveys and interviews
37
Internet survey strength
- efficient to administer to a large number of participants - access to large number of individuals with common characteristics - can be individualized based on participant's responses
38
Internet survey weaknesses
- initial expense for site - may not be representative - cannot control the composition of the sample
39
mail survey strengths
- convenient and anonymous - nonthreatening to participants - easy to administer
40
mail survey weaknesses
- can be expensive, time-consuming - low response rate and nonresponse bias - unsure exactly who completes the survey
41
telephone surveys strengths
- can be conducted from home or office - participants can stay at home or office
42
telephone surveys weaknesses
- time-consuming - potential for interview bias
43
in-person survey strengths
- efficient to administer with groups - 100% response rate - flexible (group or individual interviews)
44
in-person survey weaknesses
- time-consuming - risk of interviewer bias
45
case study
- in-depth examination of one or more individuals of interest - idiographic approach
46
case studies: if no treatment or intervention =___
case history
47
case study: strengths
- not averaged over diverse group - detailed description - vivid, powerful, convincing - compatible with clinical work - can study rare and unusual events - can identify exceptions to the rules
48
case study: weaknesses
- limited generalization - potential for selective bias - potential for subjective interpretation